Instructions to use prxy5608/3b5f68b3-f773-4c11-97c3-4f18007fa1f5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/3b5f68b3-f773-4c11-97c3-4f18007fa1f5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MNC-Jihun/Mistral-7B-AO-u0.5-b2-ver0.4") model = PeftModel.from_pretrained(base_model, "prxy5608/3b5f68b3-f773-4c11-97c3-4f18007fa1f5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02bb1a0f20d6e0f2ff2bc6bc19e3c31b982133700a6707b598dfd97ac54f3fa3
- Size of remote file:
- 6.84 kB
- SHA256:
- b3636c05b22db2fae64fb668c572eb2681ae855eca54cc6054205a93b59e174f
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